Mphasis
Data Engineering Architect
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We're Hiring: Data Engineering Architect
📍 Experience: 15+ Years
Are you passionate about building enterprise-scale data platforms that power advanced analytics, AI, and business transformation?
We are seeking a highly experienced Data Engineering Architect to lead the design and implementation of modern, scalable, and secure data ecosystems. This role offers an opportunity to shape the organization's data strategy while driving innovation across Cloud, Big Data, Real-Time Analytics, Data Governance, and AI-ready architectures.
If you thrive in solving complex data challenges and enjoy influencing enterprise-wide technology decisions, we'd love to hear from you.
🌟 About the Role
As a Data Engineering Architect, you will be responsible for designing and governing end-to-end data architectures that support business intelligence, advanced analytics, machine learning, and AI initiatives.
You will work closely with business leaders, data scientists, architects, and engineering teams to build scalable data solutions that transform raw data into actionable insights.
🔥 Key Responsibilities
Enterprise Data Architecture
- Define and implement enterprise-wide data architecture and engineering strategies
- Design scalable, secure, and high-performance data platforms across cloud and hybrid environments
- Build modern data ecosystems that support analytics, reporting, AI, and machine learning workloads
Data Engineering & Platform Development
- Design, develop, and optimize batch and real-time data pipelines
- Build robust ETL/ELT frameworks for data ingestion, transformation, and processing
- Integrate structured, semi-structured, and unstructured data from multiple enterprise sources
- Architect scalable data lake, data warehouse, and lakehouse solutions
- Ensure data reliability, quality, governance, and security across platforms
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Cloud & Big Data Solutions
- Lead cloud-native data platform implementations across AWS, Azure, and GCP
- Develop scalable solutions leveraging:
- Spark
- Hadoop
- Kafka
- Kinesis
- Streaming Technologies
- Design architectures supporting real-time analytics and event-driven data processing
AI & Advanced Data Enablement
- Build AI-ready data foundations supporting predictive analytics and machine learning initiatives
- Work with Graph Databases and Vector Databases to enable next-generation AI and knowledge-driven applications
- Collaborate with Data Science and AI teams to accelerate enterprise AI adoption
Leadership & Governance
- Drive best practices in Data Engineering, Data Governance, Security, and DevOps
- Lead architecture reviews, technology evaluations, and strategic initiatives
- Mentor engineering teams and influence enterprise data standards
- Partner with stakeholders to translate business requirements into scalable technical solutions
🎯 What We're Looking For
Core Experience
- 15+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Management
- Proven track record of designing and implementing large-scale enterprise data platforms
- Strong leadership, stakeholder management, and solution architecture experience
Technical Expertise
- Programming:
- Python
- Java
- Spark
- Data Engineering:
- ETL / ELT Frameworks
- Data Pipelines
- Data Lakes
- Data Warehouses
- Databases:
- SQL & NoSQL
- Redshift
- DynamoDB
- MongoDB
- Synapse
- BigQuery
- RDS
- Cloud Platforms:
- AWS
- Azure
- GCP
- Big Data Technologies:
- Apache Spark
- Hadoop
- Kafka
- Kinesis
- Data Warehousing:
- Snowflake
- Redshift
- BigQuery
- DevOps & Automation:
- CI/CD
- Docker
- Kubernetes
- Infrastructure Automation
- APIs & Integration:
- REST APIs
- Event-Driven Architectures
- Messaging Platforms
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Preferred Skills
- Graph Databases:
- Amazon Neptune
- RDF4J
- Neo4j
- Vector Databases:
- Pinecone
- FAISS
- Experience with:
- Informatica
- Talend
- dbt
- Exposure to:
- NLP Solutions
- AI/ML Platforms
- Customer Segmentation & Advanced Analytics
- Domain expertise in:
- Banking
- Insurance
- Mortgage
- Financial Services
💡 Why Join Us?
- Lead enterprise-scale data transformation initiatives
- Shape the future of cloud, analytics, and AI architecture
- Work on cutting-edge technologies including Big Data, Real-Time Analytics, Graph Databases, and AI-ready platforms
- Collaborate with senior technology leaders and business stakeholders
- Influence strategic technology decisions across the organization
- Build platforms that power data-driven innovation at scale
📩 Ready to architect the future of enterprise data?
If you're passionate about Data Engineering, Cloud Architecture, Big Data, Analytics, and AI-driven innovation, we'd love to connect with you.
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